Cadence break
An account that normally orders every nine days has been silent for forty. Measured against its own rhythm, not a global average.
Sales intelligence
Who to call today, and why.
Your order history already knows which accounts are drifting, which baskets are missing a line, and which quotes are about to expire. Sales Enact reads it every night and turns it into a short, ranked list for each rep. Every line carries a plain-English reason and the £ behind it.
Book a demo What it finds
Nine signals, computed from your own data
Each signal is a defined rule over NetSuite orders, quotes, items and customers. The thresholds are yours to tune.
Category defection
A category this customer used to buy has collapsed in the last quarter, with the brands that fell away named.
Attachment gap
Buys the primary product heavily, but attaches the companion far less often than customers like them. "Twelve cameras, no recording."
Whitespace
A category that similar-sized customers buy from you and this one never has.
Switch-sell
An in-stock equivalent from another brand that earns more margin at the same sell price.
Stale quotes
Open quotes ranked by value, age and expiry, with each rep's close ratio alongside.
Price-rise plays
Before a manufacturer increase: open orders to protect, top buyers to offer a buy-ahead, low-margin accounts to lift.
Project pricing expiring
Approved project pricing that lapses soon with allocation still unordered.
Pacing risk
Run-rate collapsing against the same period last year, or tracking below target, even when year-to-date looks fine.
How AI is used
Explained, not invented
Rules find the facts
Every signal is computed deterministically. The numbers behind it are stored with it. No model decides whether an account is at risk.
AI writes the briefing
A short account briefing is written from those facts: what changed, the gaps, what to watch, the next step. It is checked against the source data before a rep sees it. Any number not in the data is rejected.
AI suggests, people gate
Overnight, an analyst layer proposes up to three actions per account, each citing its evidence. Confident suggestions go to the rep. The rest wait for a manager to review.
Where it shows up
In the rep's day, not in another dashboard
Daily queue
Five actions a day per rep, ranked by value and urgency. Account 360 behind each one: health score with its components, recent orders, open quotes, gaps.
Pipeline that fills itself
Opportunities are created from suggestions and registered projects. Reps log outcomes in a tap. Managers see stalled deals and set rules for them.
Weekly digest
Monday morning email with the top five, overdue tasks and expiring projects.
A copilot you can talk to
Ask about an account in plain English. It reads the same data, records the same actions, and stops at a draft quote until a person confirms.
Your website too
The same engine powers site search, "complete the job" basket prompts and "your usual products" for logged-in trade customers.
Manager view
Action rate and £ recovered per rep, review queue for AI suggestions, price-event calendar, team and portfolio views.
Proof
It measures itself
Every suggestion is logged from the moment it is shown, to whether it was acted on or dismissed and why, to the order it produced and its value. A holdout group of accounts receives no suggestions, so the uplift in the report is the difference the system made, not just activity. Baselines are frozen before go-live so there is something honest to compare against.
What you need
NetSuite, and two or more years of order history with cost on the lines. Quotes, projects and account targets make it better but are not required. Intelligence runs nightly; there is nothing for reps to enter before it works.
Bring five accounts you know well
We will run them through Sales Enact and show you what it finds. If it tells you nothing you did not know, you have lost half an hour.
Book a demo